"Proposed method", the proposed method is presented.
However, although the proposed method does not outperform Ismail's method, the proposed algorithm can be used to complement Ismail's method, in order to further improve its search speed.
Compared to the previous design method, the proposed method does not require many trial iterations.
As a general method, the proposed approach is tested by using typical window functions.
Compared with the classical backstepping method, the proposed neural controllers׳ structure is very simple.
Relative to the traditional chart method, the proposed method is more effective and more objective.
Compared with HPLC method, the proposed method is more sensitive by two orders of magnitude.
By using FEM method, the proposed motor is designed and analyzed, and circular trajectories on the driving feet are gained.
Compared to the total caving method, the proposed system is found to achieve a reduction rate of 40.63%.
Compared with the newly published fully automatic method, the proposed method is more accurate and robust in segmenting BUS images.
Like the Ziegler Nichols method, the proposed technique requires only parameters obtained from the plant step response.
